Triple
T3019480
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gtech Community Stadium |
E82418
|
entity |
| Predicate | standCount |
P19917
|
FINISHED |
| Object | 4 |
—
|
LITERAL FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: 4 | Statement: [Gtech Community Stadium, standCount, 4]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: standCount Context triple: [Gtech Community Stadium, standCount, 4]
-
A.
numberOfStandingPlaces
chosen
Indicates the total count of standing-only positions or spots available in a given context (e.g., a vehicle, venue, or area).
-
B.
benchCount
Indicates the number of benches associated with a given entity or location.
-
C.
hasStand
Indicates that an entity possesses, is equipped with, or is supported by a stand or base structure.
-
D.
registerCount
Indicates the number of registers associated with or allocated to a given entity in a system.
-
E.
arrowCount
Indicates the number of arrows associated with or involved in a given entity or interaction.
- F. None of above.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69ad8b1fb34081908c1b873e2b7273e1 |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69ad9a927b608190ba1392498507b237 |
completed | March 8, 2026, 3:49 p.m. |
| PD | Predicate disambiguation | batch_69ad961c430c8190ac48f2e3c7e7c649 |
completed | March 8, 2026, 3:30 p.m. |
Created at: March 8, 2026, 3 p.m.